OBJECTIVES: To evaluate the long-term health economic outcomes associated with insulin aspart (IAsp) compared to human soluble insulin (HI) in type 2 diabetes patients on basal-bolus therapy in Sweden, Spain, Italy and Poland. METHODS: A published computer simulation model of diabetes was used to predict life expectancy, quality-adjusted life expectancy and incidence of diabetes-related complications. Baseline cohort characteristics (age 61.6 years, duration of diabetes 13.2 years, 45.1% male, HbA(1c) 8.2%, BMI 29.8 kg/m(2)) and treatment effects were derived from the PREDICTIVE observational study. Country-specific complication costs were derived from published sources. The analyses were run over 35-year time horizons from third-party payer perspectives in Spain, Italy and Poland and from a societal perspective in Sweden. Future costs and clinical benefits were discounted at country-specific discount rates. Sensitivity analyses were performed. RESULTS: IAsp was associated with improvements in discounted life expectancy and quality-adjusted life expectancy, and a reduced incidence of most diabetes-related complications versus HI in all four settings. IAsp was associated with societal cost-savings in Sweden (SEK 2470), direct medical cost-savings in Sweden and Spain (SEK 8248 and euro 1382, respectively), but increased direct costs in Italy (euro 2235) and Poland (euro 743). IAsp was associated with improved quality-adjusted life expectancy in Sweden (0.077 QALYs), Spain (0.080 QALYs), Italy (0.120 QALYs) and Poland (0.003 QALYs). CONCLUSIONS: IAsp was dominant versus HI in both Sweden and Spain, would be considered cost-effective in Italy with an incremental cost-effectiveness ratio of euro 18,597 per QALY gained, but would not be considered cost-effective in Poland.
OBJECTIVES: To evaluate the long-term health economic outcomes associated with insulin aspart (IAsp) compared to human soluble insulin (HI) in type 2 diabetespatients on basal-bolus therapy in Sweden, Spain, Italy and Poland. METHODS: A published computer simulation model of diabetes was used to predict life expectancy, quality-adjusted life expectancy and incidence of diabetes-related complications. Baseline cohort characteristics (age 61.6 years, duration of diabetes 13.2 years, 45.1% male, HbA(1c) 8.2%, BMI 29.8 kg/m(2)) and treatment effects were derived from the PREDICTIVE observational study. Country-specific complication costs were derived from published sources. The analyses were run over 35-year time horizons from third-party payer perspectives in Spain, Italy and Poland and from a societal perspective in Sweden. Future costs and clinical benefits were discounted at country-specific discount rates. Sensitivity analyses were performed. RESULTS: IAsp was associated with improvements in discounted life expectancy and quality-adjusted life expectancy, and a reduced incidence of most diabetes-related complications versus HI in all four settings. IAsp was associated with societal cost-savings in Sweden (SEK 2470), direct medical cost-savings in Sweden and Spain (SEK 8248 and euro 1382, respectively), but increased direct costs in Italy (euro 2235) and Poland (euro 743). IAsp was associated with improved quality-adjusted life expectancy in Sweden (0.077 QALYs), Spain (0.080 QALYs), Italy (0.120 QALYs) and Poland (0.003 QALYs). CONCLUSIONS: IAsp was dominant versus HI in both Sweden and Spain, would be considered cost-effective in Italy with an incremental cost-effectiveness ratio of euro 18,597 per QALY gained, but would not be considered cost-effective in Poland.
Authors: Xinyang Hua; Thomas Wai-Chun Lung; Andrew Palmer; Lei Si; William H Herman; Philip Clarke Journal: Pharmacoeconomics Date: 2017-03 Impact factor: 4.981